How many episodes does Interconnects have?

Interconnects has 159 episodes.

What topics does Interconnects cover?

Interconnects covers topics including: technology, science.

Interconnects

EN159 episodes

technologyscience

Audio essays about the latest developments in AI and interviews with leading scientists in the field. Breaking the hype, understanding what's under the hood, and telling stories. www.interconnects.ai

Episodes (159)

The White House's plan for open models & AI research in the U.S.

Interconnects

Jul 23, 202513:10pending

Kimi K2 and when "DeepSeek Moments" become normal

Interconnects

Jul 14, 20256:44pending

The American DeepSeek Project

Interconnects

Jul 4, 202510:36pending

Some ideas for what comes next (Jun. 2025)

Interconnects

Jun 23, 20259:57pending

Interconnects

Episodes (159)

The White House's plan for open models & AI research in the U.S.

Kimi K2 and when "DeepSeek Moments" become normal

The American DeepSeek Project

Some ideas for what comes next (Jun. 2025)

Crafting a good (reasoning) model

The rise of reasoning machines

What comes next with reinforcement learning

How I Write

A taxonomy for next-generation reasoning models

Claude 4 and Anthropic's bet on code

People use AI more than you think

My path into AI

What people get wrong about the leading Chinese open models: Adoption and censor...

State of play of AI progress (and related brakes on an intelligence explosion)

Transparency and (shifting) priority stacks

OpenAI's o3: Over-optimization is back and weirder than ever

OpenAI's GPT-4.1 and separating the API from ChatGPT

Llama 4: Did Meta just push the panic button?

RL backlog: OpenAI's many RLs, clarifying distillation, and latent reasoning

Gemini 2.5 Pro and Google's second chance with AI

Managing frontier model training organizations (or teams)

Gemma 3, OLMo 2 32B, and the growing potential of open-source AI

Interviewing Eugene Vinitsky on self-play for self-driving and what else people...

Elicitation, the simplest way to understand post-training

Where inference-time scaling pushes the market for AI companies

GPT-4.5: "Not a frontier model"?

Character training: Understanding and crafting a language model's personality

Claude 3.7 thonks and what's next for inference-time scaling

Grok 3 and an accelerating AI roadmap

An unexpected RL Renaissance

Deep Research, information vs. insight, and the nature of science

Making the U.S. the home for open-source AI

Why reasoning models will generalize

Interviewing OLMo 2 leads: Open secrets of training language models

DeepSeek R1's recipe to replicate o1 and the future of reasoning LMs

Let me use my local LMs on Meta Ray-Bans

(Voiceover) DeepSeek V3 and the actual cost of training frontier AI models

The state of post-training in 2025

Quick recap on the state of reasoning

(Voiceover) 2024 Interconnects year in review

(Voiceover) OpenAI's o3: The grand finale of AI in 2024

(Voiceover) The AI agent spectrum

(Voiceover) OpenAI's Reinforcement Finetuning and RL for the masses

Interviewing Finbarr Timbers on the "We are So Back" Era of Reinforcement Learni...

(Voiceover) OpenAI's o1 using "search" was a PSYOP

(Voiceover) OLMo 2 and building effective teams for training language models

(Voiceover) Tülu 3: The next era in open post-training

(Voiceover) Scaling realities

(Voiceover) Saving the National AI Research Resource & my AI policy outlook

Interviewing Tim Dettmers on open-source AI: Agents, scaling, quantization and w...